A comparison of three additive tree algorithms that rely on a least-squares loss criterion.

@article{Smith1998ACO,
  title={A comparison of three additive tree algorithms that rely on a least-squares loss criterion.},
  author={Timothy J. Smith},
  journal={The British journal of mathematical and statistical psychology},
  year={1998},
  volume={51 ( Pt 2)},
  pages={269-88}
}
The performances of three additive tree algorithms which seek to minimize a least-squares loss criterion were compared. The algorithms included the penalty-function approach of De Soete (1983), the iterative projection strategy of Hubert & Arabie (1995) and the two-stage ADDTREE algorithm, (Corter, 1982; Sattath & Tversky, 1977). Model fit, comparability of… CONTINUE READING